Today, the healthcare industry is under constant pressure to reduce costs and manage resources with increased patient care. Moreover, ageing population, increasing health problems and changing customer expectations are shifting the way e-learning solutions in healthcare domain are delivered. To thrive in today’s digital era, healthcare companies are becoming data-driven. They are using latest technologies to deliver cost-effective and quality-driven solutions to train their healthcare professionals.
Big data comprises of large volumes of information extracted from traditional sources such as EMRs (Electronic Medical Records) as well as from social media platforms. By implementing big data in healthcare, it becomes more convenient to determine what is happening inside the organization in terms of patient care, population profiles, staff responsibilities and financial & clinical procedures.
Big Data in Healthcare- Its Emerging Now
In today’s digital scenario, most of the healthcare companies are using advanced reporting tools to understand the medical history of individuals and then categorize the data accordingly. Forward-thinking organizations are emphasizing on information lifecycle to design operational dashboards, repositories based on clinical and departmental data. The huge amounts of structured as well as unstructured clinical data makes data warehousing a crucial foundation for transforming relevant data into actions.
Using analytics in e-learning helps to produce better results with new technologies and treatments. It helps to boost the overall learning efficiency, from managing details on every process and aid discovery to policy plans and service delivery. Current analytics technologies have indeed capitalized the clinical operations and added real value to the future of healthcare. Several objectives that can be addressed by analytics are outlined here:
- Enhance clinical effectiveness by improving the quality of care, patient safety measures, disease management and increased customer satisfaction & retention.
- Improve operational efficiency by mitigating costs, optimizing workplace performance and adaptability.
- Increase capital investments, risk management, regulatory compliances, leading to increased revenues and Return of Investment (ROI).
Today, data visualization, clinical data analysis and reporting are the essential analytic elements that drive maximum value. In the next few years, more focus will be laid on simulations, analytics and scenario development within diverse business processes. As the probability to implement analytics is increasing for healthcare organizations, they are looking for different predictive analytics techniques, which track historical data and accordingly track different model scenarios. Enterprise analytics and clinical outcomes are supported by these advanced capabilities, which facilitate personalized medications and improve behavioral changes for a healthier lifestyle. With advancement in healthcare systems, analytics have helped to improve patient care through delivery of updated information and driving optimum value.
An online learning strategy is effective only after knowing your audience and their personalized needs to seek healthcare services. Apart from professionals to be familiar, it is important for other staff members to be skilled and trained. After all, they are responsible to take care of the patients and provide the best quality of service. Data Analytics helps the healthcare professionals to determine how reality-based scenarios can prove to be effective while undergoing complicated surgeries. They can quickly gain hands-on experience through interactive training modules before performing the actual procedure, thereby ensuring adequate health of patients across the globe.
Suggested Further Reading: https://www.mobilehealthcare.nl/wp-content/uploads/sites/10/2015/10/The-value-of-analytics-in-HC.pdf